Multimedia Content Ad Area Detection via Signature Analysis
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Solution Overview
Problem
Existing web-page advertisements are often irrelevant and ineffective in capturing users' attention due to their placement, leading to low advertising value.
Innovation Solution
A method and system that analyze multimedia content elements on web-pages to identify attractive areas for displaying advertisements by generating signatures for content portions, determining their relevance, and strategically placing ads to maximize viewer attention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If advertisements are displayed using standard HTML/JavaScript code inserted into web-pages, then advertisements can be easily implemented and displayed, but the advertisements become irrelevant and ineffective in capturing users' attention
Solution Approach 1:
The multimedia content element is divided into multiple portions, and signatures are generated for each portion to identify attractive advertising areas. This segmentation allows advertisements to be placed in specific regions that are most likely to capture user attention without disrupting the overall content.
Solution Approach 2:
Different portions of the multimedia content element are analyzed individually to determine their attractiveness for advertisement placement. This local analysis ensures that advertisements are placed in areas with optimal visual characteristics, enhancing their effectiveness while maintaining the overall quality of the content.
2Quantity of substance
If web-pages are cluttered with many advertisement banners, then advertising revenue can be increased, but user attention is diverted from the advertised content and effectiveness decreases
Solution Approach 1:
Instead of uniformly distributing advertisements across the web-page, the system analyzes each multimedia content element to identify specific attractive areas. Advertisements are then placed only in these identified areas, ensuring that each advertisement occupies a position with high visual appeal and user engagement potential.
Solution Approach 2:
The system performs preliminary analysis of multimedia content elements to identify attractive advertising areas before placing advertisements. This advance preparation ensures that advertisements are positioned optimally from the outset, maximizing their effectiveness rather than being placed randomly or uniformly.
3Productivity
If advertisements are placed without analyzing multimedia content, then implementation is simple and fast, but the price for advertising in valuable areas is low due to poor effectiveness
Solution Approach 1:
The system performs preliminary analysis of multimedia content elements to identify attractive advertising areas before placing advertisements. This advance preparation ensures that advertisements are positioned optimally from the outset, maximizing their effectiveness rather than being placed randomly or uniformly.
Solution Approach 2:
The patent replaces manual or simple automated advertisement placement with an intelligent system that uses signature analysis and pattern recognition. This substitution of mechanical placement with intelligent analysis enables the system to identify optimal advertising areas automatically, combining speed with high effectiveness.
Data Source
AI summary
A method and system for detecting at least an advertising attractive area within a multimedia content element over which an advertisement item can be displayed. The method comprises extracting the multimedia content element from a web-page; partitioning the multimedia content element into a predefined number of portions; generating at least one signature for each portion of the multimedia content element; analyzing the at least one signature generated for each portion of the multimedia content elements; and identifying at least one attractive advertising area within the multimedia content element based on the signature analysis.